π PapersΓ1 mentions
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βFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.β
paper: Decentralized Mechanisms Bolster IoT Edge Security via Privacy, Resilience, and Adaptive Threat Response β 2026-04-21
What the smart people are recommending. 8874 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.β
βFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.β
βFrameworks, such as DFGL-LZTA, SecFedDNN and COSIER were assessed.β
βwe initially reconsider the conventional definitions of Shannon entropy and Fisher information, subsequently extending them to fractional quantum systemsβ
βwe initially reconsider the conventional definitions of Shannon entropy and Fisher information, subsequently extending them to fractional quantum systemsβ
βIn this paper, we propose Timeflies, a unified framework that reformulates forecasting as a joint problem of future observability inference and value estimation.β
βWe introduce EpiBench, a verifiable benchmark for short-horizon epigenomics analysis.β
βIntroducing ArogyaBodha, a large-scale multilingual multimodal medical question-answer dataset constructed from eight heterogeneous sources...β
βIn this paper, we propose MinkUNeXt-VINE++, a novel approach that combines early fusion of heterogeneous LiDAR dataβ
βRecursive language models (RLMs) showed that recursion over model calls is an effective strategy for long-context reasoningβ
βIf you do need more recommendations, Rachel's got you covered. The full report she just put out is the State of AI Shopping Assistance ProPlus.β
βIn this paper, we propose operads, mathematical structures that model many-in, one-out operations and compositions thereof, as a natural framework for describing question decomposition.β
βWe present ALMA high-resolution ($\sim$0.25$^{\prime\prime}$/2 kpc) CO(5-4) and CO(4-3) observations of three $z\sim 3$ submillimetre-selected dusty galaxies from the ALESS survey.β
βThese data complement existing [sub]-kpc scale ALMA 870$ΞΌ$m continuum imaging and JWST NIRCam and MIRI imaging from the ALESS-JWST program, allowing us to trace the molecular gas, dust-obscured star fβ¦β
βTo address these limitations, we propose ROAM (Region-graph OptimAl-transport Mixture-of-experts), a spatially aware MoE-MIL aggregator that routes region tokens to expert poolers via capacity-constraβ¦β
βTo tackle this challenge, we propose SL-FAC, a communication-efficient SL framework comprising two key components: adaptive frequency decomposition (AFD) and frequency-based quantization compression (β¦β
βWe develop a theoretical framework for $NNGP$ and $GPnn$ regression. Under mild regularity assumptions, we derive almost sure pointwise limits for three key predictive criteria: mean squared error ($Mβ¦β
βProject page: https://scene-the-ella.github.io/meol/β
βAn excellent post explaining the importance of Ethereum having a dynamically available consensus, that both provides economic finality and ensures chain progress even under conditions where economic fβ¦β
βWe propose Self-Distillation Zero (SD-Zero), a method that is substantially more training sample-efficient than RL and does not require an external teacher or high-quality demonstrations.β
βWe propose Modality Forcing, a simple, scalable post-training recipe for joint image-depth generation using a single DiT trained on sparse depth data.β
βThe Role of Immigration in the Fall of the Roman Empireβ
β# Interface choice for your visionOS app _Blog post by VisionOS_β
β# Immersive space coordinate systemβ
βWe present Broken Quantum, the first comprehensive formal security audit of the open-source quantum computing simulator ecosystem.β
β# FTAI Could Be Violating U.S. Sanctions Against Iran (FTAI US) _Blog post by Muddy Waters_β
βMW is Short e.l.f. Beauty, Inc. (ELF US)β
βMy colleague Stephanie Palazzolo has some exclusive reporting around Fiji's CIMO's decision at OpenAI to buy TBPN. According to Steph's reporting, Fiji had the idea earlier this year as she was tryingβ¦β
βThe second piece I want to highlight, we have some new data out from an exclusive survey that we ran at the Information with our subscribers. A majority think that conditions for tech companies will wβ¦β
β# Eurofins Scientific Part II: Nothing but Net (ERF.FP)β
βMW is Short FTAI Aviation Ltd. (FTAI US)β
βFirst, we release MiniF2F-Hard and FIMO-Hard, expert-reannotated Hard Mode variants of two widely-used ATP benchmarks.β
βThis paper introduces the Informational Buildup Framework (IBF), an alternative substrate for continual learning, based on the premise that information is the achievement of structural alignment ratheβ¦β
βWith DINO-QPM we make the level of interpretability of QPM available as an adapter while exceeding the accuracy of DINOv2 linear probe. Evaluated through an introduced Plausibility metric and other inβ¦β
βIn this paper, we propose T-STAR(Tree-structured Self-Taught Agent Rectification), a framework that recovers the latent correlated reward structure across seemingly independent trajectories.β
βTo address this gap, we introduce TraceSafe-Bench, the first comprehensive benchmark specifically designed to assess mid-trajectory safety.β
βWe introduce MoRight, a unified framework that addresses both limitations through disentangled motion modeling.β
βThis article presents DDP-SA, a scalable privacy-preserving federated learning framework that jointly leverages client-side local differential privacy (LDP) and full-threshold additive secret sharing β¦β
βWe initiate the study of differentially private (DP) language identification and generation in the agnostic statistical setting, establishing algorithms and matching lower bounds that precisely quantiβ¦β
βTo address this, we propose Mixed-Initiative Context, which reconceptualizes the context formed across multi-turn interactions as an explicit, structured, and manipulable interactive object.β
βTo address these challenges, we propose STRIDE-ED, a STRategy-grounded, Interpretable, and DEep reasoning framework that models Empathetic Dialogue through structured, strategy-conditioned reasoning.β
βCode and models are released on our project page: https://m80hz.github.io/kite/β
βWe term this the Logic Monopoly -- the agent society's unchecked monopoly over the entire logic chain from planning through execution to evaluation. We propose the Separation of Power (SoP) model, a cβ¦β
βThe paper introduces, ClickGuard: a trustworthy adaptive fusion framework for clickbait detection.β
βIn this paper, we address this tradeoff by proposing ReDAct (Reason-Defer-Act).β
βWe introduce SalesLLM, a bilingual (ZH/EN) benchmark derived from realistic applications covering Financial Services and Consumer Goods, built from 30,074 scripted configurations and 1,805 curated mulβ¦β
βWe present the first systematic characterization of LoS bias, distinguishing negative and positive forms, and introduce the human-annotated dataset LOBSTER (Language-Of-study Bias in ScienTific pEer Rβ¦β
βTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.β
βTo test external validity, the agent replicated two published studies on the CLMET corpus (40 million tokens) - Claridge (2025) and De Smet (2013) - with close quantitative agreement.β
βTo address this limitation, we introduce Flow Motion Policy, an open-loop, end-to-end neural motion planner for robotic manipulators that leverages the stochastic generative formulation of flow matchiβ¦β
βIn this paper, we propose Counterfactual Averaging for Fair Predictions (CAFP), a model-agnostic post-processing method that mitigates unfair influence from protected attributes without retraining or β¦β
βWe introduce A-MBER, an Affective Memory Benchmark for Emotion Recognition, to evaluate this capability.β
βWe introduces EmoMAS, a Bayesian multi-agent framework that transforms emotional decision-making from reactive to strategic.β
βWe propose Conformal Margin Risk Minimization (CMRM), a plug-and-play envelope framework that improves any classification loss under label noise by adding a single quantile-calibrated regularization tβ¦β
βIn this work, we introduce In-Place Test-Time Training (In-Place TTT), a framework that seamlessly endows LLMs with Test-Time Training ability.β
βFor squared loss, especially, we develop Unlearning Least Squares (ULS) and establish its minimax optimality for estimating the model parameter of remaining data when only the pre-trained estimator, fβ¦β
βThis paper provides a controlled benchmark of embedding choices for graph classification, comparing classical baselines with quantum-oriented node representations under a unified pipeline.β
βThis suggests that iTAG-generated data can serve as a practical surrogate for scalable benchmarking of text-based causal discovery algorithms.β
βWe introduce MARS (Mask AutoRegreSsion), a lightweight fine-tuning method that teaches an instruction-tuned AR model to predict multiple tokens per forward pass.β
βIn this paper, we propose HingeMem, a boundary-guided long-term memory that operationalizes event segmentation theory to build an interpretable indexing interface via boundary-triggered hyperedges oveβ¦β
βWe present Fast-dVLM, a block-diffusion-based VLM that enables KV-cache-compatible parallel decoding and speculative block decoding for inference acceleration. ... Extensive experiments across 11 multβ¦β
βThis paper presents the first large-scale comparative study of bias in skin-toned emoji representations across two distinct model classes.β
βWe propose DIVI, a data-informed variational clustering framework that combines global feature gating with split-based adaptive structure growth. DIVI uses informative prior initialization to stabilizβ¦β
βIn this work, we propose the Bi-Lipschitz Autoencoder (BLAE), which introduces two key innovations: (1) an injective regularization scheme based on a separation criterion to eliminate pathological locβ¦β
βMotivated by the complementary strengths of generative and discriminative classifiers, we propose Generative Cross-Entropy (GCE), which maximizes $p(x|y)$ and is equivalent to cross-entropy augmented β¦β
βThis answers a recent open question of Girish (arXiv:2510.06385) on the power of commuting quantum computations.β
βTo address these limitations, we propose a novel Chain-of-Thought framework based on Reversible Hierarchical Markov Chain, termed Cognitive Loop of Thought (CLoT), and a backward reasoning dataset CLoβ¦β
βTo address these challenges, we propose AGSC (Adaptive Granularity and GMM-based Semantic Clustering), a UQ framework tailored for long-form generation.β
βWe present SemEval-2026 Task 9, a shared task on online polarization detection, covering 22 languages and comprising over 110K annotated instances.β
βUnder general assumptions on the target distribution $p^β $, we establish a sharp Lipschitz regularity theory for flow-matching vector fields and diffusion-model scores, with optimal dependence on timeβ¦β
βTo address this, we introduce the individual-heterogeneous sub-Gaussian mixture model, a flexible framework that assigns each observation its own heterogeneity parameter, thereby explicitly capturing β¦β
βWe propose blind-spot mass B_n(tau), a deployment metric estimating the total probability mass assigned to states whose empirical support falls below a threshold tau. B_n(tau) is computed using Good-Tβ¦β
βWe introduce Machine-Learning-Assisted Generalized Entropy Calibration (MEC), a cross-fitted, calibration-weighted variant of PPI.β
βPrediction-powered inference (PPI) leverages a machine-learning predictor trained on a small labeled sample to improve efficiency, but it can lose efficiency under model misspecification and suffer frβ¦β
β# If You Want to Learn, Doβ
βIn this paper, we propose FLOWGEM, a principled iterative method for generating a complete dataset from a dataset with values Missing at Random (MAR).β
βPredicting Properties of Molecules with Machine Learningβ
β# ReAct: Synergizing Reasoning and Acting in Language Modelsβ
β# EfficientDet: Towards Scalable and Efficient Object Detectionβ
β# Deciphering language processing in the human brain through LLM representationsβ
β# Image-Text Pre-training with Contrastive Captioners _Blog post by Google Brain_β
β# Self-Supervised Learning Advances Medical Image Analysisβ
βhttps://mustafa-suleyman.ai/your-ai-companionβ
βA more personal AI for allβ
β# Containment for AI - how to adapt a Cold War strategy to a new threat _Blog post by Mustafa Suleyman_β
βTo address this issue, we propose QuIKS, an instant key supply scheme based on adaptive buffering, offering the dominant advantage of near-zero key supply latency while consuming ultra-low key resourcβ¦β
βWe have shown in a previous work arxiv:2411.09256 that types are represented by boolean functions called type functions, and that each such function is characterized by a related structure poset.β
βWe derive the volume-law coefficient of the entanglement entropy by generalizing the mean-field approach from [Phys. Rev. Lett. 119, 220603 (2017)]β
βwhich agrees with previous analytical and numerical results from [Phys. Rev. B 110, 235154 (2024)]β
βWe use this to show that $(\mathsf{BPP}^{\mathsf{IQP}})^O \not\subseteq \mathsf{PH}^O$ relative to an oracle $O$, strengthening the result of Raz and Tal (STOC 2019).β
βThis paper introduces Reinforcement Learning System-Theoretic Process Analysis (RL-STPA), a framework that adapts conventional STPA's systematic hazard analysis to address RL's unique challenges throuβ¦β
βThis paper presents Prism, the first symbolic superoptimizer for tensor programs. The key idea is sGraph, a symbolic, hierarchical representation that compactly encodes large classes of tensor programβ¦β
βTo tackle this challenge, this paper introduces Interrogative Uncertainty Quantification (IUQ), a novel framework that leverages inter-sample consistency and intra-sample faithfulness to quantify the β¦β
βBased on this insight, we propose LongAct, a strategy that shifts from uniform to saliency-guided sparse updates. By selectively updating only the weights associated with these significant activationsβ¦β
βFlow matching retains the generation quality of diffusion models while enabling substantially faster inference, making it a compelling paradigm for generative modeling.β
βTo address these challenges, we propose a mixture-of-experts flow matching (MoE-FM) framework, which captures complex global transport geometries in latent space by decomposing them into locally speciβ¦β
βBuilding on MoE-FM, we develop a non-autoregressive (NAR) language modeling approach, named YAN, instantiated with both Transformer and Mamba architectures.β
βThis work in total represents compelling evidence that adopting QEC primitives on current-generation devices can deliver substantial net benefits.β
βI always find mysteries interesting and, you know, we'll see whether it was an enjoyable read. Like, I really do enjoy like the the forensic linguistics because I wonder if my footprint is just so easβ¦β
βThis makes AdaCubic an attractive option for researchers and practitioners alike.β